Research for a Better World

If I can peer pressure you into doing one thing in your life, it is to do less, buy less, use less, fly less. 

Overconsumption is plaguing developed countries. Sustainable technology exists to solve most of our problems, but policies refuse to make implementing them mandatory. In my part to help drive the capitalistic machine towards what the world needs, I want to spend my career developing recycling technology and replacing products with greener alternatives. 

Plastics

The goal is to stop using petroleum from out of the ground to make plastic. There is enough plastic on earth for everything we could need, and we need to be able to use plastic waste as feedstocks for new goods. Current recycling methods degrade materials which means we can't use recycled plastics for all applications. 

Batteries 

Batteries are a necessary part of an electrified future where energy sources are all renewable and electricity is stored and used off of renewable energy alone. This goal increases the amount of time that batteries would need to last to many many decades, which means they need to withstand orders of magnitude more cycles without failure. 

AI for Chemistry

Foundation models have completely changed the way we interact with our data. Chemistry has long been based on trial and error, and we have the opportunity to capture decades of empirical discoveries to accelerate and create new, greener materials. This involves creating new embedding spaces, fine-tuning, developing algorithms, and a lot of coding. 

Things I've gotten to do in the name of science

Synthesize rust after running a 72 hour protocol

Also one time I made 300 solar cells to see if carbon nanotubes could be used as an energy collector

Present my ideas at adidas headquarters in Germany

Generate 8 months worth of data incorrectly

Have the complete moral high ground in climate action conversations

Education

Undergraduate

Rice University '18

B.S.E. in Materials Science and B.A. in German Studies

D1 Track and Field, Outstanding Student from the graduating class

Highlights: Welding, growing 2D materials, yelling at sports games

Graduate

Stanford University '21 '23

PhD in Materials Science, MS in Materials Science under Prof. Evan Reed

Dissertation: "Quantum Chemical Validation of Machine learning for solid-state batteries and eco-friendly polymers"

Fellowships: National Science Foundation GRFP, Knight-Hennessy Scholars

Skills

Computational Techniques: Machine Learning, Molecular Dynamics, Monte Carlo, Umbrella Sampling, Nudged Elastic Band, Database Scraping, Software-terminal Interface, Molecular/Materials Optimization, Density Functional Theory, AI, fine-tuning, Data engineering 

Programs/Software: ReaxFF, SCM-AMS, Scikit-Learn, PyTorch, Python, Javascript, Typescript, Reactjs,  RDKit, AutoCAD, Adobe A/V Editing, Latex

Other: Event Planning, Public Speaking, German Language (C1)

Academic Publications - google scholar

Reactive Vapor-Phase Inhibitors for Area-Selective Depositions at Tunable Critical Dimensions

LA Ogunfowora, I Singh, N Arellano, TG Pattison, T Magbitang, K Nguyen, ...

ACS Applied Materials & Interfaces 16 (4), 5268-5277


Experimental Discovery of a Fast and Stable Lithium Thioborate Solid Electrolyte, Li6+2x[B10S18]Sx (x ≈ 1)

Y Ma, J Wan, X Xu, AD Sendek, SE Holmes, B Ransom, Z Jiang, P Zhang, ...

ACS Energy Letters 8, 2762-2771


Electrolyte Coatings for High Adhesion Interfaces in Solid-state Batteries from First Principles

B Ransom, A Ramdas, E Lomeli, J Fidawi, A Sendek, T Devereaux, ...

arXiv preprint arXiv:2303.16350


Temperature extrapolation of molecular dynamics simulations of complex chemistry to microsecond timescales using kinetic models: Applications to hydrocarbon pyrolysis

V Dufour-Décieux, B Ransom, AD Sendek, R Freitas, J Blanchet, EJ Reed

Journal of Chemical Theory and Computation 18 (12), 7496-7509


Machine learning modeling for accelerated battery materials design in the small data regime

AD Sendek, B Ransom, ED Cubuk, LA Pellouchoud, J Nanda, EJ Reed

Advanced Energy Materials 12 (31), 2200553


Machine‐Learning and Data‐Intensive Methods for Accelerating the Development of Rechargeable Battery Chemistries: A Review

AD Sendek, ED Cubuk, B Ransom, J Nanda, EJ Reed

Transition Metal Oxides for Electrochemical Energy Storage, 393-409


Kinetics of Diamond Formation from Temperature Extrapolatable Kinetics Model built using Molecular Dynamics Simulations

V Dufour Decieux, E Reed, B Ransom, J Blanchet

APS March Meeting Abstracts 2022, T24. 008


Two low-expansion Li-ion cathode materials with promising multi-property performance

B Ransom, N Zhao, AD Sendek, ED Cubuk, W Chueh, EJ Reed

MRS Bulletin, 1-14


Combining Superionic Conduction and Favorable Decomposition Products in the Crystalline Lithium–Boron–Sulfur System: A New Mechanism for Stabilizing Solid Li-Ion Electrolytes

AD Sendek, ER Antoniuk, ED Cubuk, B Ransom, BE Francisco, ...

ACS applied materials & interfaces 12 (34), 37957-37966