Sotabase

Career

· Researcher, Yiliang Shi University of California, Berkeley (UC Berkeley) Simons Institute for the Theory of Computing (SITC)2024–
· Researcher, UC Berkeley Simons Institute for the Theory of Computing (SITC)2019–

Publications (0)

Gel Polymer Electrolyte toward Large‐Scale Application of Aqueous Zinc Batteries
Advanced Functional Materials · 2023
88
cited
Advanced Direct Recycling Technology Enables a Second Life of Spent Lithium-ion Battery
Energy Storage Materials · 2024
43
cited
Catalytic VS2–VO2 Heterostructure that Enables a Self‐Supporting Li2S Cathode for Superior Lithium–Sulfur Batteries
Small Methods · 2023
37
cited
Engineering, Understanding, and Optimizing Electrolyte/Anode Interfaces for All-Solid-State Sodium Batteries
Electrochemical Energy Reviews · 2024
37
cited
DNA polymerase POLD1 promotes proliferation and metastasis of bladder cancer by stabilizing MYC
Nature Communications · 2023
30
cited
Electrical Double Layer and In Situ Polymerization SEI Enables High Reversible Zinc Metal Anode.
Small · 2024
21
cited
Assay2Mol: Large Language Model-based Drug Design Using BioAssay Context
Conference on Empirical Methods in Natural Language Processing · 2025
2
cited
From KMMLU-Redux to Pro: A Professional Korean Benchmark Suite for LLM Evaluation
Conference on Empirical Methods in Natural Language Processing · 2025
2
cited
Bimetallic phosphides-oxides heterostructures coupled heteroatomdoped carbon as bifunctional electrocatalysts for Zn-air batteries
Nano Research Energy · 2024
1
cited
Deep Neural Inspection Using DeepBase
2018
1
cited
What’s Missing From Self-Supervised Representation Learning?
2020
1
cited
Atomic Synergy of Vacancy‐Engineered Layered Double Hydroxide/Heteroatom‐Doped Carbon Quantum Dots for Bifunctional Oxygen Electrocatalysis in Zn–Air Batteries
Rare Metals · 2025
C 2 RBench: A Chinese Complex Reasoning Benchmark for Large Language Models
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