Two-dimensional van der Waals semiconductors promise low-power chemical perception at room temperature, yet contact-limited on-currents and slow recovery impede closed-loop decision making in hazardous environments. Here we propose antimony (Sb)-contact two-dimensional (2D) monolayer MoS 2 field-effect transistors (FETs) that leverage contact engineering to boost on-current and charge-transfer gas response for room temperature detection and enable electrically programmable recovery via pre-bias pulses that actively accelerate desorption and baseline restoration. The Sb-contact MoS 2 FETs show unprecedented ppb gas response (363,600% at 500 ppb NO 2 ) and rapid, repeatable room temperature recovery with ultra-low energy consumption (42 pJ, representing the intrinsic energy efficiency of the sensing front-end), serving as a proof-of-concept for the front-end of a safety-constrained reinforcement-learning (RL) stack that detects leak sources and plans low-risk escape path in turbulent interiors. We cast joint seek-and-escape as a single constrained Markov decision process informed by real-time transduction features fused with thermal–flow cues; the learned policy achieves earlier detection, lower cumulative exposure, and shorter safe-egress paths than heuristic baselines in computational fluid dynamics (CFD)-validated simulations and chamber trials. By uniting contact-engineered 2D transducers with risk-aware RL, this work advances room temperature chemical sensing from passive monitoring to closed-loop action.
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
This state-of-practice investigation was performed using a literature review followed by a multiple-case study approach and presents how inconsistency between managerial strategies and execution can lead to failure by means of a behavioral framework.
Carmine Giardino, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 175 citations· ⚡19
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
It is found that roles of MVPs in startups were not fully aware by entrepreneurs, and entrepreneurs should consider a systematic approach to fully explore the value of MVP, as a multiple facet product (MFP).
Anh Nguyen-Duc, P. Abrahamsson· International Conference on...· 93 citations· ⚡9
It is found that what perceived as biggest challenges by software startups do vary across different life cycle stages, even though its significance decreases when the learning focuses of the startups move from problem to solution and their products mature.
Xiaofeng Wang, Henry Edison, Sohaib Shahid Bajwa et al.· International Conference on...· 62 citations· ⚡6
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
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