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RESEARCH & OUTPUT
SCIENCE DRIVER 1
Solution-Processable Functional Materials
The Core Objective: This driver aims to shift materials discovery for hybrid halide and oxide perovskites from serendipitous trial-and-error to hypothesis-driven design. The central hypothesis is that AI can learn transferable heuristics linking solution chemistry and processing history to functional performance, and then generalize these rules across both halide and oxide perovskite families.
The Impact: The resulting process-informed framework is expected to accelerate the discovery of stable, manufacturable semiconductors for photovoltaics, solid-oxide fuel cells, electrolyzers, and neuromorphic devices.
SCIENCE DRIVER 2
Materials for Temperature and Radiation Extremes
The Core Objective: This driver seeks to replace slow, macroscopic testing of refractory high-entropy alloys (RHEAs) and complex nitrides, carbides, and borides with high-throughput, small-volume discovery loops. The goal is to establish fast, nanoscale measurement proxies (such as 4D-STEM strain gradients or early nanoindentation load-depth slopes) that reliably predict a material’s high-temperature toughness and irradiation-induced swelling.
The Impact: By mapping how configurational entropy influences defect landscapes and interface stability, this driver will provide cloud-accessible scale-up recipes for extreme-environment components used in hypersonics, fusion/fission reactors, and aerospace.
SCIENCE DRIVER 3
Direct Atomic Fabrication via Electron Beams
The Core Objective: A high-risk, high-reward branch intended to operationalize an “Experimental Quantum Fabrication Lab”. It is based on the premise that an electron probe can deliver site-specific energy with sub-Ångström precision to trigger bond breaking and atomic displacements, allowing for the direct atom-by-atom fabrication of artificial molecules and structures.
The Impact: Decoding and controlling these beam-induced transformation pathways will enable the on-demand creation of atomically precise active centers (like photon emitters and qubits) for quantum computing, sensing, and biomolecular sequencing devices.