Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Reinforcement learning-guided multi-objective trajectory planning for obstacle avoidance in robotic manipulators. [PDF]
Sci RepZhao Z, Hao S, Jin B, Liu L, Li Z.
europepmc +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Advanced Science, EarlyView.Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Advanced Science, EarlyView.Nanoscale secondary ion mass spectrometry (Nano SIMS) is established as a powerful analytical tool to visualize and quantify the membrane fouling layers. ABSTRACT Membrane technology has garnered considerable attention for applications in wastewater treatment and resource recovery. Nevertheless, membrane fouling remains a major barrier, yet the lack of
Mengfei Wu +4 more
wiley +1 more source
LP-Based Path Planning for Target Pursuit and Obstacle Avoidance in 3D Relative Coordinates
, 2010 A linear programming (LP) based approach is proposed for the trajectory generation in three dimensional space in which a vehicle is requested to pursue a moving target and avoid static or dynamic obstacles simultaneously.
Chen Y(陈洋), Han JD(韩建达)
core
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
Advanced Science, EarlyView.This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Identifying urban low-altitude traffic corridors: A computational fluid dynamics simulation approach. [PDF]
PLoS OneLiu Z, Wu Z, Wang J, Pan B, Jiang W.
europepmc +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Advanced Science, EarlyView.Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Maximizing mobility: Distributed controllers of a Segway swarm for autonomous navigation in smart city environments. [PDF]
PLoS OneChand RP +4 more
europepmc +1 more source
Giant Bulk Photovoltaic Effect in Two‐Dimensional Topological Ferroelectric Semimetal
Advanced Science, EarlyView.ABSTRACT Ferroelectric (FE) metals have attracted growing interest because they combine ferroelectricity with metallic behavior and enable polarization‐controlled band topology near the Fermi level. However, the number of known ferroelectric metals is still limited.
Jianhua Wang +8 more
wiley +1 more source