X-ray diffraction of photovoltaic perovskites: Principles and applications
WL Tan, CR McNeill - Applied Physics Reviews, 2022 - pubs.aip.org
Solar cells based on organic–inorganic hybrid perovskite materials have emerged as the
most efficient next-generation thin-film solar cells within just a decade of research and show …
most efficient next-generation thin-film solar cells within just a decade of research and show …
[PDF][PDF] Integrated Hybrid Planning and Programmed Control for Real Time UAV Maneuvering.
The automatic generation of realistic behaviour such as tactical intercepts for Unmanned
Aerial Vehicles (UAV) in air combat is a challenging problem. State-of-the-art solutions …
Aerial Vehicles (UAV) in air combat is a challenging problem. State-of-the-art solutions …
Optimal personalised treatment computation through in silico clinical trials on patient digital twins
Abstract In Silico Clinical Trials (ISCT), ie clinical experimental campaigns carried out by
means of computer simulations, hold the promise to decrease time and cost for the safety …
means of computer simulations, hold the promise to decrease time and cost for the safety …
Reconciling interoperability with efficient verification and validation within open source simulation environments
Abstract A Cyber–Physical System (CPS) comprises physical as well as software
subsystems. Simulation-based approaches are typically used to support design and …
subsystems. Simulation-based approaches are typically used to support design and …
Computing personalised treatments through in silico clinical trials. A case study on downregulation in assisted reproduction
In Silico Clinical Trials (ISCT), ie, clinical experimental campaigns carried out by means of
computer simulations, hold the promise to decrease time and cost for the safety and efficacy …
computer simulations, hold the promise to decrease time and cost for the safety and efficacy …
Discovering emergent agent behaviour with evolutionary finite state machines
In this paper we introduce a novel approach to discovering emergent behaviour in
multiagent simulations, using evolutionary finite state machines to model intelligent agents …
multiagent simulations, using evolutionary finite state machines to model intelligent agents …
Behaviour recognition with kinodynamic planning over continuous domains
G Fitzpatrick, N Lipovetzky, M Papasimeon… - Frontiers in Artificial …, 2021 - frontiersin.org
We investigate the application of state-of-the-art goal recognition techniques for behaviour
recognition over complex continuous domains using model predictive control (MPC) for …
recognition over complex continuous domains using model predictive control (MPC) for …
A comprehensive framework for learning declarative action models
A declarative action model is a compact representation of the state transitions of dynamic
systems that generalizes over world objects. The specification of declarative action models …
systems that generalizes over world objects. The specification of declarative action models …
OptiGAN: Generative adversarial networks for goal optimized sequence generation
One of the challenging problems in sequence generation tasks is the optimized generation
of sequences with specific desired goals. Current sequential generative models mainly …
of sequences with specific desired goals. Current sequential generative models mainly …
Multi-Agent Simulation for AI Behaviour Discovery in Operations Research
M Papasimeon, L Benke - International Workshop on Multi-Agent Systems …, 2021 - Springer
We describe ACE0, a lightweight platform for evaluating the suitability and viability of AI
methods for behaviour discovery in multi-agent simulations. Specifically, ACE0 was …
methods for behaviour discovery in multi-agent simulations. Specifically, ACE0 was …