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Research Archive · science foundation

Research Archive

Before moving into AI engineering, I spent 15+ years in electrochemical energy storage — redox-flow batteries, Li-ion electrolytes, silicon anodes, membranes, lithium recovery, and autonomous materials discovery. That background still shapes how I build AI systems today: evidence-first, reproducible, and domain-aware. This archive keeps the public publications, patents, funded themes, and project history.

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Research themes
Lithium-ion electrolytes & additivesNon-aqueous and aqueous redox flow batteries / redoxmer chemistryFunctional membranes & ionic-selective separationHigh-throughput robotic & AI/ML autonomous discoveryAdvanced manufacturing — 3D printing, recycling, binders
Selected research projects · Argonne DOE / JCESR / LDRD
DOE / JCESR public-facing projects4

Primary funded research at Argonne, 2010 – 2023

Advanced Electrolyte Additives for PHEV/EV Lithium-ion Battery
DOE ABR (Applied Battery Research) · 2010 – 2014 · Researcher → Co-investigator
  • Structure-based screening framework for SEI additives (cyclic + double-bond + unsaturation)
  • Discovered redox-shuttle additives for overcharge protection — basis of multiple US patents
  • Synthesized cyclic phosphate additive (EMP) with improved capacity retention
Organic Molecular Engineering for Non-Aqueous Redox Flow Batteries (NRFBs / ROMs)
JCESR — DOE BES Energy Frontier Research Center · 2013 – 2020 · Theme Lead · Sprint team leader · Y3 milestone lead
  • Designed liquid catholytes ANL-8/9 — featured in Argonne Today and JCESR Research Highlights
  • Discovered the lightest organic radical cation for charge storage (Sci. Rep. 2016)
  • Led the cross-institution low-potential Sprint (3 universities + 2 national labs)
  • Led JCESR 2.0 Y3 milestone for self-reporting fluorescent redoxmers
Silicon Consortium Project — Science of Manufacturing for Silicon Anodes
DOE EERE / Vehicle Technologies Office · 2014 – 2021 · Principal Investigator (binders sub-thrust)
  • First systematic study of PAA molecular-weight effect on silicon-anode performance
  • Identified Mn 24–150 kDa as the optimal range; revealed low-MW PAA causes ester cleavage and adhesion loss
  • Developed crosslinked siloxane-based binders integrating adhesion and elasticity
Flow Batteries Technology Strategy Assessment / Storage Innovations 2030
DOE — long-duration storage roadmap · 2022 – 2023 · Co-author · DOE flow-battery information lead
  • Co-author of the 2023 DOE Flow Batteries Technology Strategy Assessment
  • Contributed to the Storage Innovations 2030 framework launched at the 2022 Energy Storage Grand Challenge Summit
  • Engaged industry listening session: 22 attendees from 14 commercial entities
LDRD / internal Argonne research8

Laboratory-Directed R&D and exploratory programs, 2018 – ongoing

High-Density Energy Storage in Solvent-Free Redox Flow Batteries for Flexible Electric Grid
Argonne LDRD (2018-100) · 2018 – 2020 · Principal Investigator (with Ilya A. Shkrob)
  • Multi-electron redoxmers (TMPD, DMN, MPT) → up to 1183 Wh/kg theoretical specific energy
  • Mixed-flow battery demonstration with BODMA cycling 150+ times stably
Hybrid Membranes for Flow Batteries
Argonne LDRD (2021-0087) · 2021 – 2023 · Project member · membrane sub-thrust (with Jeffrey Elam)
  • ALD / sequential infiltration synthesis (SIS) for tunable flow-battery membranes
Argonne LDRD (2021-0394) · 2021 – 2023 · Project participant — autonomous discovery platform
  • Foundation for the AI + robotics electrolyte-discovery platform that became the 2024 Nature Communications paper
Organic Aqueous Hybrid Flow Batteries
Argonne LDRD (2022-0095) · 2022 – 2024 · Co-PI (with Lei Cheng)
Scalable Membrane Architecture from Recycled Plastics for Low-Cost Redox Flow Batteries
Argonne LDRD (2022-0196) · 2022 – 2024 · Co-PI (with Shrayesh Patel)
  • Waste polystyrene → ion-exchange membranes for aqueous flow batteries and lithium extraction
  • US non-provisional patent application (63/734,300) filed 2024-12-16
3D Printed Interfaces for Solid-State Batteries
Argonne LDRD (2022-0226) · 2021 – 2024 · Project participant
  • 3D printing for solid-state battery interface engineering
Novel Polymer Binders for Direct Cathode Recycling
Argonne LDRD (2023-0003) · 2022 – ongoing · Co-PI (with Ilya Shkrob, Albert Lipson)
  • Fluoropolymer-removal binder-solvent system for direct Li-ion cathode recycling
Selective Ion Exchange Membranes for Lithium Recovery
Argonne LDRD (2023-0048) · 2023 – ongoing · Co-PI (with Albert Lipson, A H M Golam Hyder)
  • Crown-ether-modified cation exchange membranes for selective Li recovery via electrodialysis
  • US application 2024/0252991 A1 (pending)
AI / ML / autonomous-discovery platforms3

Computational and robotic acceleration of materials discovery

publication-driven research line · 2021 · Co-author
  • Multiobjective Bayesian optimization for redox-active molecule discovery
  • Earliest of his ML-driven design publications
Argonne — Polybot/N9 platform · 2021 – 2024 · Co-author of flagship Nature Communications 2024 paper
  • Robotic chemistry and active learning study for electrolyte-formulation optimization
  • Relevant scientific background for later personal formulation-support prototypes
Autonomous Discovery for Battery Electrolytes
Argonne internal concept work · 2023 · Internal concept/proposal lead
  • Explored autonomous-discovery workflow concepts across battery-electrolyte problems; public details intentionally limited
Membrane materials & lithium recovery3

Functional membranes — flow batteries, plastic upcycling, ionic separation

ALD/SIS-Tuned Hybrid Membranes (Jeffrey Elam collaboration)
ANL collaborative · 2021 – 2023 · Collaborator
  • Atomic-layer deposition / sequential infiltration synthesis of flow-battery membranes
Upcycling Plastics into Battery Separating Membranes
ANL — Shrayesh Patel collaboration · 2022 – ongoing · Co-lead
  • Waste polystyrene → battery separator membranes for liquid-electrolyte and aqueous flow batteries
PS Upcycling Membrane → Aqueous Flow Battery & Lithium Extraction
Argonne collaboration · 2024 · Contributor / project lead; public details limited
  • Patent advanced to finalized US non-provisional draft (ANL 23-T-154 / ANL-IN-22-134)
  • Manuscript in preparation
The through-line

More than a decade in experimental science, where mistakes are expensive, built an instinct for evidence, attribution, reproducibility, and uncertainty — which maps directly onto how I build AI today: grounding agents in sources, testing with deterministic evals, gating with safety screens, and keeping human review where correctness matters.

See the current AI systems →