A5089563832- Advanced Memory and Neural Computing
- Conducting polymers and applications
- Neuroscience and Neural Engineering
- Advanced Sensor and Energy Harvesting Materials
- Photoreceptor and optogenetics research
- Carbon Nanotubes in Composites
- Diamond and Carbon-based Materials Research
- Ferroelectric and Negative Capacitance Devices
- Microfluidic and Bio-sensing Technologies
- Graphene research and applications
- Nanofabrication and Lithography Techniques
- Electrohydrodynamics and Fluid Dynamics
- Force Microscopy Techniques and Applications
- Modular Robots and Swarm Intelligence
- Microfluidic and Capillary Electrophoresis Applications
- Advanced Electron Microscopy Techniques and Applications
- Perovskite Materials and Applications
- Advanced Surface Polishing Techniques
- Advanced Measurement and Metrology Techniques
- Pain Mechanisms and Treatments
- Innovative Microfluidic and Catalytic Techniques Innovation
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Analytical Chemistry and Sensors
- Musculoskeletal pain and rehabilitation
- Empathy and Medical Education
Eindhoven University of Technology
2014-2025
Wageningen University & Research
2023
Max Planck Institute for Polymer Research
2020
Hong Kong Polytechnic University
2020
Nanjing University of Posts and Telecommunications
2020
Eindhoven Cancer Registry
2019
Stanford University
2017
Netherlands Organisation for Applied Scientific Research
2014
Holst Centre (Netherlands)
2012-2014
A variety of optical applications rely on the absorption and reemission light. The quantum yield this process often plays an essential role. When deviates from unity by significantly less than 1%, such as luminescent concentrators refrigerators become possible. To evaluate high performance, we develop a measurement technique for luminescence efficiency with sufficient accuracy below one part per thousand. Photothermal threshold is based quantization light to minimize overall uncertainty....
Functional emulation of biological synapses using electronic devices is regarded as the first step toward neuromorphic engineering and artificial neural networks (ANNs). Electrolyte-gated transistors (EGTs) are mixed ionic–electronic conductivity capable efficient gate-channel capacitance coupling, biocompatibility, flexible architectures. Electrolyte gating offers significant advantages for realization devices/architectures, including ultralow-voltage operation ability to form...
The interface between cells and nonbiological surfaces regulates cell attachment, chronic tissue responses, ultimately the success of medical implants or biosensors. Clinical laboratory studies show that topological features surface profoundly influence cellular responses; for example, titanium with nano- microtopographical structures enhance osteoblast attachment host–implant integration as compared to a smooth surface. To understand how tissues respond different topographical features, it...
Organic electrochemical transistors (OECTs) show great promise for flexible, low-cost, and low-voltage sensors aqueous solutions. The majority of OECT devices are made using the polymer blend poly(ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS), in which PEDOT is intrinsically doped due to inclusion PSS. Because this intrinsic doping, PEDOT:PSS OECTs generally operate depletion mode, results a higher power consumption limits stability. Here, straightforward method de-dope...
In living organisms, sensory and motor processes are distributed, locally merged, capable of forming dynamic sensorimotor associations. We introduce a simple efficient organic neuromorphic circuit for local merging processing on robot that is placed in maze. While the exposed to external environmental stimuli, visuomotor associations formed adaptable circuit. With this on-chip integration, learns follow path exit maze, while being guided by visually indicated paths. The ease processability...
Abstract Organic electrochemical transistors (OECTs) have emerged as building blocks for low power circuits, biosensors, and neuromorphic computing. While p‐type polymer materials OECTs are well developed, the choice of high‐performance n‐type polymers is limited, despite being essential cation metabolite crucial constructing complementary circuits. N‐type conjugated that efficient ion‐to‐electron transduction highly desired applications. In this contribution, three non‐fused, planar...
Organic mixed ionic-electronic conductors (OMIECs) are central to bioelectronic applications such as biosensors, health-monitoring devices, and neural interfaces, have facilitated efficient next-generation brain-inspired computing biohybrid systems. Despite these examples, smart adaptive circuits that can locally process optimize biosignals not yet been realized. Here, a tunable sensing circuit is shown modulate biologically relevant signals like electromyograms (EMGs) electrocardiograms...
Abstract Neuromorphic computing offers the opportunity to curtail huge energy demands of modern artificial intelligence (AI) applications by implementing computations into new, brain‐inspired architectures. However, lack fabrication processes able integrate several units monolithic systems and need for hardware‐tailored training algorithms still limit scope application performance neuromorphic hardware. Recent advancements in field organic transistors present new opportunities smart sensing...
Abstract Signal communication mechanisms within the human body rely on transmission and modulation of action potentials. Replicating interdependent functions receptors, neurons synapses with organic artificial biohybrid is an essential first step towards merging neuromorphic circuits biological systems, crucial for computing at interface. However, most systems are based simple which exhibit limited adaptability to both external internal cues, restricted emulate only specific individual...
Abstract Recent breakthroughs in artificial neural networks (ANNs) have spurred interest efficient computational paradigms where the energy and time costs for training inference are reduced. One promising contender ANN implementation is crossbar arrays of resistive memory elements that emulate synaptic strength between neurons within ANN. Organic nonvolatile redox has recently been demonstrated as a device neuromorphic computing, offering continuous range linearly programmable resistance...
We present an overview of the latest studies on organic neuromorphic and smart sensing devices highlight potential these concepts to enhance interaction efficiency between electronics biological substances.
Abstract Neuromorphic systems that display synaptic conditioning based on biochemical signaling activity have recently been introduced in the form of artificial synapses are model devices to develop tissue‐interfaced platforms. In this regard, biohybrid promise adaptive neuron‐integrated functions. However, these suffer from both molecular cross‐talk as biological neural circuits signal transmission typically involves more than one neuromodulator, and unstable electronics wirings complex...
Neuromorphic devices are becoming increasingly appealing as efficient emulators of neural networks used to model real world problems. However, no hardware date has demonstrated the necessary high accuracy and energy efficiency gain over CMOS in both (1) training via backpropagation (2) read vector matrix multiplication. Such shortcomings due device non-idealities, particularly asymmetric conductance tuning response uniform voltage pulse inputs. Here, by formulating a general circuit for...
Poly(3,4-ethylenedioxythiophene) blended with polystyrenesulfonate and poly(styrenesulfonic acid), PEDOT:PSS, has found widespread use in organic electronics. Although PEDOT:PSS is commonly used its doped electrically conducting state, the ability to efficiently convert undoped nonconducting state of interest for a wide variety applications ranging from biosensors neuromorphic devices. Exposure aliphatic monoamines, acting as an electron donor Brønsted-Lowry base, been reported be partly...
Abstract Organic electrochemical transistors (OECTs) are of great interest in low‐power bioelectronics and neuromorphic computing, as they utilize organic mixed ionic‐electronic conductors (OMIECs) to transduce ionic signals into electrical signals. However, the poor environmental stability OMIEC materials significantly restricts practical application OECTs. Therefore, non‐fused planar naphthalenediimide (NDI)‐dialkoxybithiazole (2Tz) copolymers fine‐tuned through varying ethylene glycol...
Abstract Biological systems interact directly with the environment and learn by receiving multimodal feedback via sensory stimuli that shape formation of internal neuronal representations. Drawing inspiration from biological concepts such as exploration processing eventually lead to behavioral conditioning, we present a robotic system handling objects through learning. A small-scale organic neuromorphic circuit locally integrates adaptively processes stimuli, enabling robot intelligently its...
Chronic pain is an ill-defined disease with complex biopsychosocial aspects, posing treatment challenges. We hypothesized that failure results, at least partly, from limited understanding of diverse patient subgroups. aimed to identify subgroups using psychological variables, allowing for more tailored interventions. In a retrospective cohort study, we extracted patient-reported data two Dutch tertiary multidisciplinary outpatient clinics (2018-2023) unsupervised hierarchical clustering....