NASA-Jet Propulsion Laboratory (NASA-JPL)

JPL leads robotic space exploration, advances science and technology, and develops innovations that benefit humanity and expand our understanding of space.

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Idaho National Laboratory (INL)

Global pre-competitive research organization advancing next-generation lead battery innovation for energy storage and automotive applications.

Lithium Resource Research and Innovation Center

Research center advancing lithium extraction technologies and sustainable resource innovation for economic and environmental benefits.

Central Intelligence Agency (CIA)

The CIA is the United States’ premier foreign intelligence agency, providing national security intelligence and analysis to protect the nation.

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UL Standards & Engagement

UL Standards & Engagement creates and maintains science-based safety standards for products and systems worldwide.

Pembina Institute

Pembina Institute accelerates cleantech innovation and adoption nationwide, supporting ventures, industry, and net-zero goals with impactful programs.

Sandia National Laboratories (SNL)

Sandia National Laboratories applies science and engineering to national security challenges, operating as a leading U.S. research center for over 70 years.

Lawrence Berkeley National Laboratory (LBNL)

Lawrence Berkeley National Lab accelerates scientific discovery and innovation, supporting urgent national priorities with world-class research.

BATT CAVE

UNC Charlotte’s BATT CAVE drives battery and autonomous vehicle innovation, boosting the region’s tech growth and expanding research with major state investment.

PyTorch

PyTorch is an open-source deep learning library by Meta, known for its easy-to-use API, GPU acceleration, and popularity in AI research.

TensorFlow

TensorFlow is a popular, open-source machine learning library developed by Google. It supports multiple languages and platforms.

Hugging Face

Hugging Face is a US-based AI company known for open-source machine learning tools, model sharing, and recent security challenges.

LangChain

LangChain is an open-source Python and JavaScript framework that integrates large language models into applications, supporting many data sources.

Stata

Stata is a statistical software package for data analysis, widely used in research, known for extensibility, user community, and frequent updates.

LangGraph

LangGraph is a flexible framework for building and controlling complex AI agents, supporting human-in-the-loop, memory, and custom workflows.

Large Language Models (LLMs)

A large language model (LLM) is an AI model, usually based on transformers, trained on vast text data to generate, summarize, and analyze language.

Centers & Labs Browse

Centers & Labs Browse

(AI) Application Programming Interface (API)

An API is a software interface that lets programs communicate. It hides internal details, offers consistent services, and enables integration. APIs support many platforms and are key to web, app, and system development. They simplify coding by letting developers reuse and connect software easily.

NumPy

NumPy is a popular open-source Python library enabling efficient, large-scale numerical computing with multi-dimensional arrays and mathematical functions.

(AI) Reinforcement Learning (RL)

Reinforcement learning (RL) is a machine learning approach where agents learn to make decisions by interacting with an environment. The goal is to maximize cumulative rewards through trial and error. RL algorithms balance exploring new actions and exploiting known strategies. This method has enabled breakthroughs in robotics, game playing, and language model training.

Retrieval-Augmented Generation (RAG)

Retrieval-augmented generation (RAG) lets AI models pull in external data to improve accuracy, reduce hallucinations, and cite sources.

Alaska Center for Energy & Power (ACEP)

Applied energy research center advancing microgrids, renewables, and energy resilience for Alaska’s communities.

Keras

Keras is an open-source Python library for building neural networks, supporting multiple backends like TensorFlow, JAX, and PyTorch.

Browse All USA Hubs

Browse All USA Hubs

Neural Networks

Neural networks are computational models inspired by the brain, used in AI to process data, recognize patterns, and make predictions. They consist of interconnected layers of artificial neurons and are trained using large datasets. Modern neural networks power applications such as image recognition, language processing, and generative AI. Training them requires significant computing resources and careful data handling to avoid bias and ensure reliability.

Cursor AI

Cursor is an AI coding agent that automates code tasks, integrates with major tools, learns your codebase, and boosts developer productivity.

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(AI) Hallucinations

An AI hallucination is when a model confidently generates false, fabricated, or unsupported information that sounds entirely plausible.

Browse All Hub Events

Browse All Hub Events

Vienna Ab Initio Simulation Package (VASP)

VASP is a Fortran-based package for ab initio quantum mechanical calculations, using DFT and advanced methods, widely used in materials science.

Agentic AI & AI Agents

AI agents autonomously execute tasks, while agentic AI coordinates multiple agents to manage complex workflows and adapt with minimal supervision.

Google Antigravity

Google Antigravity is a platform for autonomous AI agents that generate, execute, and test code. It features an IDE, CLI, and SDK, supports multiple AI models, and is free during preview. Agents deliver verifiable artifacts, not just code. The platform is built on a fork of Visual Studio Code.

ElevenLabs

ElevenLabs software offers AI-powered text-to-speech, voice cloning, dubbing, music generation, and speech recognition tools for lifelike audio.

Pandas

Pandas is a Python library for data analysis and manipulation, offering flexible data structures like Series and DataFrames for tabular data.

Deep Learning

Deep learning uses multilayered neural networks to automatically learn data representations and excels in tasks like vision, speech, and NLP.

Vibe Coding

Vibe coding is AI-driven programming where prompts to language models produce code, prioritizing results over review and deep code understanding.

Natural Language Processing (NLP)

Natural language processing (NLP) is a computer science field focused on enabling computers to understand, interpret, and generate human language.

Matplotlib

Matplotlib is a widely used Python library for creating static, interactive, and animated data visualizations in scientific and educational fields.

scikit-learn

Scikit-learn is a leading open-source Python library for machine learning, widely used in industry and academia for diverse data analysis tasks.

Warehouse Operations

Warehouse operations covers the day-to-day work of receiving, storing, picking, packing, and shipping goods, supported by a WMS and an evolving stack of automation. Strong operations combine layout and slotting design, labor management, KPI tracking (lines per hour, accuracy, on-time ship), and continuous improvement to deliver consistent service at competitive cost. As e-commerce, near-shoring, and onshoring reshape distribution networks, warehouse operations is one of the fastest-evolving disciplines in the supply chain.

SymPy

SymPy is a free, open-source Python library for symbolic mathematics, offering computer algebra capabilities and a wide range of math tools.

High-Performance Liquid Chrmoatography (HPLC)

High-performance liquid chromatography (HPLC) separates compounds in solution by pumping samples through a packed column at high pressure, then detecting them by UV-Vis absorbance, fluorescence, or mass spectrometry. As a hard skill it requires selecting the appropriate column chemistry and mobile phase for the target analytes, developing and validating gradient methods, and interpreting peak purity and quantitation results from calibration curves. Battery researchers apply HPLC to identify and quantify electrolyte additive decomposition products, characterize organic species in aged electrolytes, and verify purity of synthesized electrolyte components and binders.

Geotechnical Engineering

Geotechnical engineering in mining characterizes the mechanical behavior of rock and soil to design stable pit walls, underground openings, tailings dams, and waste-rock facilities. Engineers integrate core data, lab testing, instrumentation, and numerical modeling to predict deformation, set monitoring trigger levels, and design support. The discipline is safety-critical: failures of slopes or tailings facilities are among the highest-consequence events in the industry.

Hazardous Waste Management

Hazardous waste management in refining and chemical processing handles spent catalysts, solvents, sludges, and contaminated water under RCRA and equivalent state regulations, from point of generation through treatment and disposal. Practitioners classify wastes, manage manifests and storage limits, and select treatment paths — incineration, stabilization, recycling — that minimize risk and cost. Sound waste management is a regulatory necessity and a meaningful operating cost lever, especially as the industry pushes toward circularity and emissions reduction.

C/C++

C and C++ are the workhorse languages of battery management system firmware, real-time pack controllers, and the embedded systems that run formation equipment. As a hard skill it requires fluency in memory management (no GC, often no malloc in BMS contexts), pointer discipline, the C++ subset that fits a microcontroller (no exceptions, no RTTI), and the toolchain literacy (linker scripts, startup code, ISR conventions) to bring up a fresh microcontroller. Embedded engineers apply this every day on BMS firmware monitoring hundreds of cells, on pack-test bench instrumentation, and on real-time motor-drive code that has to meet hard deadlines while the pack is energized.

Referencing & Scientific Literature

Academic and scientific referencing is the practice of accurately citing prior work — journal articles, patents, standards, and data sets — to acknowledge sources, situate new findings, and direct readers to supporting evidence. As a hard skill it requires selecting the citation style required by the target journal or organization, using reference management software such as Zotero, Mendeley, or EndNote to organize and format citations, and performing systematic literature searches to ensure relevant prior art is captured. Battery researchers apply rigorous referencing in publications, patents, and technical reports to establish novelty, avoid unintentional plagiarism, and build credibility with peer reviewers and patent examiners.

Gas Chromatography (GC)

Gas chromatography (GC) separates volatile and semi-volatile compounds in a mixture by partitioning them between a moving gas phase and a stationary phase in a heated column, then detects them with FID, TCD, or mass spectrometry. As a hard skill it requires selecting column chemistry, optimizing temperature programs, preparing calibration standards in the right matrix, and identifying peaks from retention time and mass-spectral data. Battery researchers apply GC to quantify gas evolution during formation and abuse testing, identify electrolyte decomposition products in aged cells, and monitor solvent impurities in fresh electrolyte batches.

Underground Mining

Underground mining extracts ore through shafts, declines, and drifts using methods such as room-and-pillar, cut-and-fill, sublevel stoping, and block caving, each tailored to the geometry, grade, and rock mechanics of the specific orebody. As a hard skill it requires understanding ground-support design, ventilation requirements, blasting and mucking cycles, and the logistics of moving people and materials safely through confined, often wet and gassy environments. Underground mining is the method of choice for deep, high-grade, or geometrically complex deposits, and demands disciplined adherence to safety culture across every shift to manage the ground, gas, and equipment hazards inherent in the underground environment.